CN111178766A - Bus operation reliability evaluation method and device and electronic equipment - Google Patents
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Abstract
The invention discloses a method and a device for evaluating bus running reliability and electronic equipment, which are applied to the technical field of public transport management, mainly solve the problem that the accuracy of the current bus running reliability evaluation is easily influenced, and mainly comprise the following steps: determining an evaluation range; acquiring bus running data corresponding to the evaluation range; determining a common arrival station set among each class according to the bus operation data, and calculating departure intervals among the classes and arrival intervals of the stations of each class approach; calculating the running time deviation of each shift from the previous shift at each path station according to the common arrival station set, the departure interval and the arrival interval; calculating an average run time bias from the plurality of run time biases; and calculating the bus operation reliability score corresponding to the evaluation range through a preset reliability scoring formula and the average operation time deviation, and determining an evaluation result based on the reliability score. The method is used for evaluating the bus running reliability.
Description
Technical Field
The invention relates to the technical field of public transport management, in particular to a method and a device for evaluating bus running reliability and electronic equipment.
Background
With the continuous development of society and the great increase of urban population, the holding capacity of automobiles per capita is increased, and the traffic load of cities is increased more and more. In order to relieve the pressure of urban traffic, public transport, light rails and subways are taken as representative urban public transport, and the urban public transport can greatly relieve the running pressure of urban traffic, so that the urban public transport is gradually a good medicine for improving the traffic jam condition in various regions and cities. Compared with the high organization of rail transit such as subways and light rails, the ground buses are more easily influenced by factors such as weather conditions and road conditions due to the openness of the operation environment, and therefore the operation reliability is relatively poor. Meanwhile, the bus running reliability is an important index for measuring the bus service level and is also an important influence factor of the bus attraction, so that the evaluation of the bus running reliability is vital to the measurement of the bus service level and the judgment of the bus attraction.
At present, in the existing test case verification process, the punctual rate is generally adopted as a main index for evaluating the bus operation reliability, so that the arrival time of a vehicle and the planned arrival time of a departure timetable need to be compared in the evaluation process to determine whether the vehicle arrives on time or not. However, in practical applications, in the process of calculating the positive point rate through the departure timetable, depending on the accuracy of the departure timetable, when the bus temporarily changes the departure time on a certain day or at a certain stage, the accuracy of the original departure timetable is affected, for example, in rainy and snowy weather, during spring transportation, or during a full meeting, the bus temporarily adjusts the departure timetable of each line. Therefore, due to the fact that the departure timetable is changed, the accuracy of the punctuality rate calculated based on the departure timetable is influenced, and the accuracy of the evaluation result of the bus operation reliability is influenced.
Disclosure of Invention
In view of this, the invention provides a method and a device for evaluating bus operation reliability and an electronic device, and aims to solve the problem that the accuracy of the existing bus operation reliability evaluation process is easily affected.
In order to achieve the above object, according to a first aspect of the present invention, there is provided a method for evaluating bus operation reliability, including:
determining an evaluation range, wherein the evaluation range comprises a time range and a space range;
acquiring bus operation data corresponding to the evaluation range, wherein the bus operation data comprises operation shifts, route stops of each operation shift, arrival time of each shift to each route stop, and departure time of each shift from the first station;
determining a common arrival station set among each class according to the bus operation data, and calculating departure intervals among the classes and arrival intervals of the stations of the route of each class;
calculating the running time deviation of each shift from the previous shift at each approach station according to the common arrival station set, the departure interval and the arrival interval;
calculating an average run-time deviation from a plurality of the run-time deviations;
and calculating the bus running reliability score corresponding to the evaluation range through a preset reliability scoring formula and the average running time deviation, and determining an evaluation result based on the reliability score.
Optionally, the time range is at least two times greater than the departure interval, and the space range at least includes one bus route.
Optionally, the determining, according to the bus operation data, a common arrival station set between each shift, and calculating departure intervals between each shift and arrival intervals of each shift approach station includes:
determining a plurality of shifts related in the bus running data, and determining a station set which is passed by a target shift and a previous shift in the plurality of shifts together according to a station of each shift path;
and respectively calculating departure intervals and arrival intervals of each shift route station for each shift in the plurality of shifts.
Optionally, the bus operation data further includes: weight association information;
prior to said calculating an average run-time deviation from a plurality of said run-time deviations, said method further comprising:
determining a weight variable parameter according to the weight association information;
said calculating an average run-time deviation from a plurality of said run-time deviations, comprising:
and calculating an average running time deviation according to the weight variable parameter and the running time deviations.
Optionally, the weight associated information includes the number of persons getting on the train and the number of persons getting off the train;
the determining of the weight variable parameter according to the weight association information includes:
calculating the weight variable parameter according to the number of the people getting on the train and the number of the people getting off the train by a preset weight calculation formula, wherein the weight calculation formula comprises the following steps:
wherein q isijWeight variable parameter at site j for shift i, aijFor shift i pick-up traffic at station j, bijAnd the get-off passenger flow at the station j for the shift i.
Optionally, the calculating an average runtime deviation according to the weight variable parameter and the plurality of runtime deviations includes:
calculating the average running time deviation of the running time deviation and the weight variable parameter through a preset average running time deviation formula;
the preset average run time deviation formula comprises:
where d is the mean operating time deviation, qijAs a weight variable parameter, oijIs the running time deviation in the corresponding time range; the value range of i is all the operation shifts except the first shift of each line in the time range, and the value range of j is the non-first common arrival station of each shift and the previous shift in a plurality of shifts corresponding to the space range.
Optionally, the preset reliability scoring formula includes:
wherein d is the average run time deviation for the corresponding evaluation range, d ∈ [0, + ∞); s is the reliability score, belongs to (0, 100), and the value of the reliability score s is positively correlated with the quality of the evaluation result.
According to a second aspect of the present invention, the present invention further provides an evaluation apparatus for bus running reliability, including:
the device comprises a first determining unit, a second determining unit and a judging unit, wherein the first determining unit is used for determining an evaluation range, and the evaluation range comprises a time range and a space range;
the acquisition unit is used for acquiring bus operation data corresponding to the evaluation range, wherein the bus operation data comprises operation shifts, route stations of each operation shift, arrival time of each shift reaching each route station, and departure time of each shift from the first station;
the first calculating unit is used for determining a common arrival station set among each class according to the bus running data and calculating departure intervals among the classes and arrival intervals of the stations of each class approach;
the second calculation unit is used for calculating the running time deviation of each shift from the previous shift at each route station according to the common arrival station set, the departure interval and the arrival interval;
a third calculation unit for calculating an average running time deviation from a plurality of the running time deviations;
and the second determining unit is used for calculating the bus running reliability score corresponding to the evaluation range through a preset reliability scoring formula and the average running time deviation, and determining an evaluation result based on the reliability score.
Optionally, the time range is at least two times greater than the departure interval, and the space range at least includes one bus route.
Optionally, the first computing unit includes:
the determining module is used for determining a plurality of shifts related in the bus running data and determining a station set which is passed by a target shift and a previous shift in the plurality of shifts according to a station of each shift path;
and the calculation module is used for respectively calculating departure intervals and arrival intervals of each shift approach station for each shift in the shifts.
Optionally, the bus operation data further includes: weight association information;
the device further comprises:
a third determining unit, configured to determine a weight variable parameter according to the weight association information;
the third calculating unit is specifically configured to calculate an average runtime deviation according to the weight variable parameter and the plurality of runtime deviations.
Optionally, the weight associated information includes the number of persons getting on the train and the number of persons getting off the train;
the third determining unit is specifically configured to calculate the weight variable parameter according to the number of getting-on persons and the number of getting-off persons through a preset weight calculation formula, where the weight calculation formula includes:
wherein q isijWeight variable parameter at site j for shift i, aijFor shift i pick-up traffic at station j, bijAnd the get-off passenger flow at the station j for the shift i.
Optionally, the third calculating unit is further specifically configured to calculate an average running time deviation for the running time deviation and the weight variable parameter through a preset average running time deviation formula;
the preset average run time deviation formula comprises:
where d is the mean operating time deviation, qijAs a weight variable parameter, oijIs the running time deviation in the corresponding time range; the value range of i is all the operation shifts except the first shift of each line in the time range, and the value range of j is the non-first common arrival station of each shift and the previous shift in a plurality of shifts corresponding to the space range.
Optionally, the preset reliability scoring formula includes:
wherein d is the average run time deviation for the corresponding evaluation range, d ∈ [0, + ∞); s is the reliability score, belongs to (0, 100), and the value of the reliability score s is positively correlated with the quality of the evaluation result.
According to a third aspect of the present invention, there is provided an electronic device comprising a memory, a processor and a communication bus;
the memory is in communication connection with the processor through the communication bus;
the memory stores computer-executable instructions, and the processor is used for executing the computer-executable instructions and implementing the method for evaluating the bus running reliability provided by the first aspect of the invention.
According to a fourth aspect of the present invention, a computer-readable storage medium is provided, which stores computer-executable instructions, and when the computer-executable instructions are executed, the computer-readable storage medium is used for implementing the method for evaluating the bus operation reliability provided by the first aspect of the present invention.
Compared with the prior art that the accuracy is easily influenced in the process of evaluating the bus running reliability, the method and the device for evaluating the bus running reliability and the electronic equipment provided by the invention can firstly determine the evaluation range; then acquiring bus running data corresponding to the evaluation range; then according to the bus running data, determining a common arrival station set among each class, and calculating departure intervals among the classes and arrival intervals of the stations of the route of each class; then, calculating the running time deviation of each shift from the previous shift at each route station according to the common arrival station set and the departure interval and arrival interval; calculating an average running time deviation according to the running time deviations; finally, calculating the bus running reliability score corresponding to the evaluation range through a preset reliability scoring formula and the average running time deviation, determining an evaluation result based on the reliability score, thereby obtaining the evaluation result of the target bus running reliability, compared with the prior method of determining the evaluation result by calculating the punctual rate according to the departure timetable, the evaluation process does not depend on the departure timetable, but carries out evaluation based on the bus running data, can ensure whether the departure time is changed or not, the evaluation result is not influenced by the timeliness and the accuracy of the departure schedule, thereby improving the accuracy of the evaluation result, and can be changed in special periods such as rainy and snowy days, spring transportation and the like at the departure time without extra maintenance, the evaluation process has better adaptability, and the convenience of evaluating the bus running reliability is improved. Meanwhile, the evaluation is carried out based on the running time deviation determined by the arrival interval and departure interval in the evaluation process, so that equipment such as a control brake can be arranged at a station in the evaluation process, and the cost is saved. In addition, the evaluation is carried out based on the running time deviation calculation score, the evaluation result can be quantized, the evaluation result is more accurate, meanwhile, the calculation complexity in the evaluation process is lower, the training process in the evaluation process by utilizing a machine algorithm and a model thereof is avoided, the calculation difficulty in the evaluation process is simplified, and the evaluation efficiency is higher.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings.
Fig. 1 is a flowchart illustrating an implementation of a method for evaluating bus operation reliability according to an embodiment of the present application;
fig. 2 is a flowchart illustrating an implementation of another method for evaluating bus operation reliability according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an evaluation device for bus operation reliability according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of another bus operation reliability evaluation device provided according to an embodiment of the application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The embodiment of the invention provides a method for evaluating bus running reliability, which comprises the following steps of:
101. and determining an evaluation range.
Wherein the evaluation range comprises a time range and a space range.
In the embodiment of the invention, the time range is a time period required to be evaluated, and the time period is generally required to be more than two departure interval time periods, so that the accuracy of a subsequent evaluation result is ensured. Meanwhile, the spatial range can be understood as the specific line length selected by the line to be evaluated, and certainly, the spatial range at least comprises one bus running line and can also be a part of the bus running line, which is not limited herein and can be determined according to the evaluation requirement.
102. And acquiring the bus running data corresponding to the evaluation range.
The bus operation data comprises operation shifts, route stations of each operation shift, arrival time of each shift reaching each route station, and departure time of each shift from the first station.
When the evaluation range is determined in the aforementioned step 101, it means that a certain line or lines in a certain time period corresponding to the evaluation is determined. In this step, the corresponding bus operation data can be determined based on the evaluation range. The bus operation data can be understood as historical data containing a plurality of parameter data such as operation shift, approach station, arrival time, departure time and the like. It should be noted that the bus operation data includes, but is not limited to, the above-mentioned various parameter data, and may also include other required parameter data according to the needs in the subsequent evaluation process, for example, parameters of the number of people getting on or off the bus at the station of the route for each shift.
103. And determining a common arrival station set among each class according to the bus operation data, and calculating departure intervals among the classes and arrival intervals of the stations of the route of each class.
The departure interval is the difference between arrival times of two adjacent bus running shifts at a first common arrival station (the arrival time of the first bus arrival can also be called departure time), and each shift and the previous shift have only one departure interval; the arrival interval is the difference of arrival time of two adjacent public transport operation shifts at each common arrival station (except for the first station), and each shift and the previous shift can have a plurality of arrival intervals. For example, the route a in the bus operation data determined in the above step includes two shifts, respectively, shift 1 and shift 2, and the stations where shift 1 passes are station 1, station 2, and station 3; the stations passed by shift 2 are station 2 and station 3. Then in this step it is determined that the two shifts co-arrived at the site set [ site 2, site 3 ]. Meanwhile, difference calculation is carried out according to the arrival time of the shift 2 at the station 3 and the arrival time of the shift 1 at the station 3, and the arrival interval of the two shifts at the station 3 is obtained; meanwhile, the departure interval of the two shifts is obtained by calculating the difference between the arrival time of the shift 2 at the first common arrival station (station 2) and the arrival time of the shift 1 at the first common arrival station (station 2).
104. And calculating the running time deviation of each shift from the previous shift at each approach station according to the common arrival station set, the departure interval and the arrival interval.
Ideally, the operation time of the buses on the same route between two stops should be the same, that is, the arrival interval and the departure interval of the buses on adjacent shifts at each stop should be the same, but since the operation of the buses is influenced by various factors such as traffic jam, accidents, rain and snow weather, etc., the operation condition of the buses can be reflected when the deviation value occurs between the arrival interval and the departure interval, so that the operation time deviation between every two adjacent shifts can be determined based on the departure interval and the arrival interval obtained in the current step.
For example, when departure interval a at station 2 and arrival interval B at station 3 for shift 2 and shift 1 are determined, the running time offset at station 3 can be obtained by performing a difference calculation between arrival interval B and departure interval a.
105. Calculating an average run-time deviation from a plurality of the run-time deviations.
Based on the method in step 104, since the evaluation range may correspond to a plurality of shifts and a plurality of stations in a plurality of lines, the method in step 104 can calculate the running time deviations of a plurality of adjacent shifts at different stations, so that the running time deviations need to be averaged in this step to obtain the average running time deviation.
106. And calculating the bus running reliability score corresponding to the evaluation range through a preset reliability scoring formula and the average running time deviation, and determining an evaluation result based on the reliability score.
After the average running time deviation corresponding to the evaluation range is obtained in step 105, it is indicated that the average running time deviation of the bus in a certain time period of the line required to be evaluated by the user is determined, and since the average running time deviation can reflect the running condition of the bus line, a preset reliability scoring formula can be adopted, the average running time deviation is used for scoring, and the evaluation result corresponding to the current evaluation range is judged based on the score.
Compared with the prior art that the accuracy is easily influenced in the process of evaluating the bus running reliability, the method for evaluating the bus running reliability provided by the embodiment can determine the evaluation range firstly; then acquiring bus running data corresponding to the evaluation range; then according to the bus running data, determining a common arrival station set among each class, and calculating departure intervals among the classes and arrival intervals of the stations of the route of each class; then, calculating the running time deviation of each shift from the previous shift at each route station according to the common arrival station set and the departure interval and arrival interval; calculating an average running time deviation according to the running time deviations; finally, calculating the bus running reliability score corresponding to the evaluation range through a preset reliability scoring formula and the average running time deviation, determining an evaluation result based on the reliability score, thereby obtaining the evaluation result of the target bus running reliability, compared with the prior method of determining the evaluation result by calculating the punctual rate according to the departure timetable, the evaluation process does not depend on the departure timetable, but carries out evaluation based on the bus running data, can ensure whether the departure time is changed or not, the evaluation result is not influenced by the timeliness and the accuracy of the departure schedule, thereby improving the accuracy of the evaluation result, and can be changed in special periods such as rainy and snowy days, spring transportation and the like at the departure time without extra maintenance, the evaluation process has better adaptability, and the convenience of evaluating the bus running reliability is improved. Meanwhile, the evaluation is carried out based on the running time deviation determined by the arrival interval and departure interval in the evaluation process, so that equipment such as a control brake can be arranged at a station in the evaluation process, and the cost is saved. In addition, the evaluation is carried out based on the running time deviation calculation score, the evaluation result can be quantized, the evaluation result is more accurate, meanwhile, the calculation complexity in the evaluation process is lower, the training process in the evaluation process by utilizing a machine algorithm and a model thereof is avoided, the calculation difficulty in the evaluation process is simplified, and the evaluation efficiency is higher.
Further, according to the method shown in fig. 1, another embodiment of the present invention further provides a method for evaluating bus operation reliability, so as to further refine and illustrate the foregoing example, specifically, as shown in fig. 2, the method mainly includes:
201. and determining an evaluation range.
Wherein the evaluation range comprises a time range and a space range.
Specifically, the bus running reliability needs to be judged within a certain time, so that in order to ensure the accuracy of the evaluation result, the time range is at least greater than twice of the departure interval, and the space range at least comprises one bus line, so that enough running data of the number of shifts can be evaluated in the subsequent evaluation process.
For example, the evaluation range is 5:45 to 6:45 on a certain day.
202. And acquiring the bus running data corresponding to the evaluation range.
The bus operation data comprises operation shifts, route stations of each operation shift, arrival time of each shift reaching each route station, and departure time of each shift from the first station.
Further, when a bus runs in a shift, besides the influence of conditions such as weather and road congestion, the influence of the internal conditions of bus operation such as people getting on or off the bus can be also received, so that for convenience of accuracy of subsequent evaluation, the influence of the internal conditions of the bus operation needs to be considered when the bus running data is acquired.
Therefore, according to the method, when the bus operation data corresponding to the evaluation range is acquired, the following example can be used, for example:
when the evaluation range is 12 months and 15 days, namely 5:45-6:45, the bus operation data corresponding to 12 months and 15 days, namely 5:45-6:45, on the whole line A is obtained from the historical data, and the bus operation data can be specifically as follows:
and identifying the bus running data according to the number of the bus runs, and extracting the arrival time t, the number of the passengers getting on the bus a and the number of the passengers getting off the bus b from each bus to each stop. Statistics shows that there are 3 shifts in the evaluation range, where the operation interval of shift 1 and shift 2 is from site 1 to site 7, and the operation interval of shift 3 is from site 3 to site 7, which can be specifically shown in table 1 below.
TABLE 1
203. And determining a common arrival station set among each class according to the bus operation data, and calculating departure intervals among the classes and arrival intervals of the stations of the route of each class.
Specifically, the step may include: firstly, determining a plurality of shifts related in the bus operation data, and determining a station set which is passed by a target shift and a previous shift in the plurality of shifts together according to a station of each shift path; then, the departure interval and the arrival interval of each shift route station are calculated for each of the plurality of shifts.
Here, as shown in the above example, the specific implementation procedure of this step is as follows:
A. calculating a common arrival site set M of each shift and the previous shift, wherein M is the intersection of the arrival site set of the shift and the arrival site set of the previous shift, and the common arrival site set of the shift i and the previous shift i-1 is marked as MiThe station where the shift i and the first co-arrival of the previous shift i-1 are denoted as miWherein the value range of i is all the operation shifts except the first shift of each line in the evaluation range;
B. calculating departure time interval f of each shift, and recording departure time interval of shift i and previous shift i-1 as fi，
C. Calculating the arrival time interval s of each shift and the previous shift at each station, and recording the arrival time interval s of the shift i and the previous shift i-1 at the station jij，sij＝tij-t(i-1)jWherein the value range of i is all the operating shifts except the first shift of each line in the evaluation range, and the value range of j is the shift i and the previous shiftThe non-first co-arrival site of time i-1, i.e. j ∈ MiAnd j ≠ mi；
According to the bus running data recorded in table 1, after the step is executed according to the above-mentioned steps a-C, the result of the arrival interval can be shown in the following table 2:
table 2 results of calculation of inter-station distances
In addition, according to the above-described execution procedure, the departure interval of the non-first-class car is also obtained, the departure shop interval between class 2 and the previous class (class 1) is 9 minutes, and the departure interval between class 3 and the previous class (class 2) is 10 minutes.
204. And calculating the running time deviation of each shift from the previous shift at each approach station according to the common arrival station set, the departure interval and the arrival interval.
Specifically, the method comprises the following steps: and calculating a difference value according to the arrival interval and the departure interval to obtain the running time deviation of each shift from the previous shift at each station.
Taking the example of the foregoing steps as an example, for example, the running time deviation of each shift from the previous shift at each station is calculated according to the departure interval table and the arrival interval table obtained in the foregoing steps, that is, the arrival time interval s and the departure time interval f in table 2 are substituted into the formula oij＝sij-fiThe operating time deviation o of each shift from the previous shift at each station was calculated, and the calculation results are shown in table 3 below.
TABLE 3
Since no other shift is involved before shift 1 in the evaluation range, the departure interval and arrival interval of shift 1 do not need to be calculated when determining the departure interval and arrival interval. Therefore, the run time offset for shift 1 also need not be calculated in this step.
205. And determining a weight variable parameter according to the weight association information.
When determining the weight variable parameter, the step may specifically be: calculating the weight variable parameter according to the number of the people getting on the train and the number of the people getting off the train by a preset weight calculation formula, wherein the weight calculation formula comprises the following steps:
wherein q isijWeight variable parameter at site j for shift i, aijFor shift i pick-up traffic at station j, bijAnd the get-off passenger flow at the station j for the shift i.
For example, according to the method of this step, the weight variable parameter of shift 2 at the station 3 may be obtained by substituting the number of passengers getting on (3) and the number of passengers getting off (4) into the above formula233.5 ═ 3+ 4)/2. In this way, the weight variable parameters at each site for each shift are calculated according to the table 3 obtained in the above steps, as shown in the following table 4 for the run time deviation and the corresponding weight variable parameters:
TABLE 4
206. Calculating an average run-time deviation from a plurality of the run-time deviations.
In the actual evaluation process, there may be an influence of internal factors during bus operation, such as a passenger flow volume (the number of persons getting on or off the bus), and therefore, the internal factors during operation may be determined as a weight variable during the evaluation process to perform comprehensive evaluation. Specifically, the method comprises the following steps: and calculating an average running time deviation according to the weight variable parameter and the running time deviations.
Specifically, the method comprises the following steps: calculating the average running time deviation of the running time deviation and the weight variable parameter through a preset average running time deviation formula;
wherein the preset average run time deviation formula comprises:
where d is the mean operating time deviation, qijAs a weight variable parameter, oijIs the running time deviation in the corresponding time range; the value range of i is all the operation shifts except the first shift of each line in the time range, and the value range of j is the non-first common arrival station of each shift and the previous shift in a plurality of shifts corresponding to the space range.
For example, as shown in table 4 of the previous step, according to the method of this step, after counting the weight variable parameters of shift 2 and shift 3 at each station, and determining the operating time deviation of shift 2 and shift 3 at each station, the above-mentioned preset average operating time deviation formula can be substituted to obtain the average operating time deviation of 1.91 minutes. Therefore, the average running time deviation of the whole line A in the period of 5:45-6:45 under the weight influence brought by the number of people getting on or off the bus is 1.91 minutes.
207. And calculating the bus running reliability score corresponding to the evaluation range through a preset reliability scoring formula and the average running time deviation, and determining an evaluation result based on the reliability score.
Wherein the preset reliability scoring formula comprises:
wherein d is the average run time deviation for the corresponding evaluation range, d ∈ [0, + ∞); s is the reliability score, belongs to (0, 100), and the value of the reliability score s is positively correlated with the quality of the evaluation result.
For example, when the average operation time deviation obtained in the previous step is 1.91 minutes, the average operation time deviation can be calculated by the preset reliability scoring formula, and since 1.91 is located in the interval that d is less than or equal to 6, the third part (100-10d) in the formula is adopted for calculation, the evaluation score is obtained to be 80.9, and the evaluation result can be determined to be excellent according to the evaluation score because the score is positively correlated with the quality of the evaluation result.
Of course, in practical applications, the reliability score and the evaluation result may be determined by a plurality of preset intervals, for example, five evaluation results of "excellent", "good", "medium", "and" poor "may be set, and the corresponding reliability scores are: excellent (s is more than or equal to 80), good (80 is more than or equal to 60), medium (60 is more than or equal to 40), and (40 is more than or equal to 20), and poor (20 is more than or equal to 0), so that when the reliability score is obtained to be 66.3, the evaluation result can be determined to be good according to the judgment interval. Here, the specific determination method for the evaluation result may include, but is not limited to, the above-described method, and it is only necessary to ensure a positive correlation between the evaluation result and the reliability score.
Further, according to the above method embodiment, another embodiment of the present invention further provides an apparatus for evaluating bus operation reliability, as shown in fig. 3, the apparatus includes:
a first determining unit 31, which may be configured to determine an evaluation range, where the evaluation range includes a time range and a space range;
the obtaining unit 32 may be configured to obtain bus operation data corresponding to the evaluation range determined by the first determining unit 31, where the bus operation data includes an operation shift, an approach station of each operation shift, arrival time of each shift at each approach station, and departure time of each shift at a first station;
the first calculating unit 33 may be configured to determine a common arrival station set between each shift according to the bus operation data acquired by the acquiring unit 32, and calculate departure intervals between each shift and arrival intervals of each shift approach station;
a second calculating unit 34, configured to calculate a running time deviation of each shift from a previous shift at each route station according to the common arrival station set calculated by the first calculating unit 33 and the departure interval and arrival interval;
a third calculation unit 35 operable to calculate an average operating time deviation from the plurality of operating time deviations calculated by the second calculation unit 34;
the second determining unit 36 may be configured to calculate a bus operation reliability score corresponding to the evaluation range through a preset reliability scoring formula and the average operation time deviation calculated by the third calculating unit 35, and determine an evaluation result based on the reliability score.
Further, as shown in fig. 4, the time range is at least two times greater than the departure interval, and the space range at least includes one bus route.
Further, as shown in fig. 4, the first calculating unit 33 includes:
the determining module 331 may be configured to determine a plurality of shifts involved in the bus operation data, and determine, according to a station of each shift route, a station set through which a target shift and a previous shift of the plurality of shifts pass together;
the calculating module 332 may be configured to calculate departure intervals and arrival intervals of each shift route station for each shift of the shifts determined by the determining module 331.
Further, as shown in fig. 4, the bus operation data further includes: weight association information;
the device further comprises:
a third determining unit 37, configured to determine a weight variable parameter according to the weight association information;
the third calculating unit 35 may be specifically configured to calculate an average operation time deviation according to the weight variable parameter determined by the third determining unit 37 and a plurality of the operation time deviations.
Further, as shown in fig. 4, the weight-related information includes the number of persons getting on the vehicle and the number of persons getting off the vehicle;
the third determining unit 37 may be specifically configured to calculate the weight variable parameter according to the number of getting-on persons and the number of getting-off persons through a preset weight calculation formula, where the weight calculation formula includes:
wherein q isijWeight variable parameter at site j for shift i, aijFor shift i pick-up traffic at station j, bijAnd the get-off passenger flow at the station j for the shift i.
Further, as shown in fig. 4, the third calculating unit 35 may be further specifically configured to calculate an average operation time deviation for the operation time deviation and the weight variable parameter by using a preset average operation time deviation formula;
the preset average run time deviation formula comprises:
where d is the mean operating time deviation, qijAs a weight variable parameter, oijIs the running time deviation in the corresponding time range; the value range of i is all the operation shifts except the first shift of each line in the time range, and the value range of j is the non-first common arrival station of each shift and the previous shift in a plurality of shifts corresponding to the space range.
Further, as shown in fig. 4, the preset reliability scoring formula includes:
wherein d is the average run time deviation for the corresponding evaluation range, d ∈ [0, + ∞); s is the reliability score, belongs to (0, 100), and the value of the reliability score s is positively correlated with the quality of the evaluation result.
Compared with the prior art that the accuracy is easily influenced in the bus running reliability evaluation process, the bus running reliability evaluation device provided by the embodiment of the invention can determine the evaluation range firstly; then acquiring bus running data corresponding to the evaluation range; then according to the bus running data, determining a common arrival station set among each class, and calculating departure intervals among the classes and arrival intervals of the stations of the route of each class; then, calculating the running time deviation of each shift from the previous shift at each route station according to the common arrival station set and the departure interval and arrival interval; calculating an average running time deviation according to the running time deviations; and finally, calculating a bus running reliability score corresponding to the evaluation range through a preset reliability scoring formula and the average running time deviation, and determining an evaluation result based on the reliability score to obtain an evaluation result of the target bus running reliability, wherein compared with the conventional method for determining the evaluation result by calculating the punctuality rate according to a departure time table, the evaluation process does not depend on the departure time table but is based on the bus running data, so that the evaluation result can be ensured not to be influenced by the inconsistency between the departure time table and the specific departure time no matter whether the departure time is changed, the accuracy of the evaluation result is improved, and when the departure time is changed in special periods such as rain and snow weather, spring transportation and the like, extra maintenance is not required, so that the evaluation process has better adaptability, the convenience of evaluating the bus running reliability is improved. Meanwhile, the evaluation is carried out based on the running time deviation determined by the arrival interval and departure interval in the evaluation process, so that equipment such as a control brake can be arranged at a station in the evaluation process, and the cost is saved. In addition, the evaluation is carried out based on the running time deviation calculation score, the evaluation result can be quantized, the evaluation result is more accurate, meanwhile, the calculation complexity in the evaluation process is lower, the training process in the evaluation process by utilizing a machine algorithm and a model thereof is avoided, the calculation difficulty in the evaluation process is simplified, and the evaluation efficiency is higher.
Further, according to the above embodiment, another embodiment of the present invention further provides a storage medium, where the storage medium includes a stored program, and when the program runs, the apparatus on which the storage medium is located is controlled to execute the method for evaluating the bus running reliability as described above.
Further, according to the above embodiment, as shown in fig. 5, another embodiment of the present invention further provides an electronic device 50, as shown in fig. 5, including: a memory 51, a processor 52 and a communication bus 53;
the processor 52 may include at least one of a Central Processing Unit (CPU), a Digital Signal Processor (DSP), a Microcontroller (MCU), an Application Specific Integrated Circuit (ASIC), or a Field Programmable Gate Array (FPGA).
The memory 51 is connected with the processor 52 in a communication way through a communication bus 53;
the memory 51 stores computer-executable instructions, and the processor 52 is configured to execute the computer-executable instructions, so as to implement the method for evaluating bus operation reliability provided by any optional implementation manner in the embodiment of the application.
The computer-executable instructions may be embodied in the form of software functional units and may be sold or used as a stand-alone product, and the memory 51 may be any form of computer-readable storage medium. Based on such understanding, all or part of the technical solutions of the present application may be embodied in the form of a software product, which includes several instructions to enable a computer device, specifically a processor, to execute all or part of the steps of the terminal in the embodiments of the present application. And the aforementioned computer-readable storage media comprise: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It should be noted that the embodiment of the mobile terminal provided in the present application and the embodiment of the method for evaluating bus operation reliability provided in the present application have the same or similar effects, and the details are not repeated in this embodiment.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components of a method, apparatus and electronic device for bus operation reliability evaluation according to embodiments of the present invention. The present invention may also be embodied as devices or device programs (e.g., computer programs and computer program products) for performing some or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Claims (10)
1. A method for evaluating bus operation reliability is characterized by comprising the following steps:
determining an evaluation range, wherein the evaluation range comprises a time range and a space range;
acquiring bus operation data corresponding to the evaluation range, wherein the bus operation data comprises operation shifts, route stops of each operation shift, arrival time of each shift to each route stop, and departure time of each shift from the first station;
determining a common arrival station set among each class according to the bus operation data, and calculating departure intervals among the classes and arrival intervals of the stations of the route of each class;
calculating the running time deviation of each shift from the previous shift at each approach station according to the common arrival station set, the departure interval and the arrival interval;
calculating an average run-time deviation from a plurality of the run-time deviations;
and calculating the bus running reliability score corresponding to the evaluation range through a preset reliability scoring formula and the average running time deviation, and determining an evaluation result based on the reliability score.
2. The method of claim 1, wherein said time range is at least two times greater than said departure interval, and said spatial range includes at least one bus route.
3. The method of claim 2, wherein determining a set of common arrival stations between each shift and calculating departure intervals between shifts and arrival intervals for each shift approach station based on the bus operation data comprises:
determining a plurality of shifts related in the bus running data, and determining a station set which is passed by a target shift and a previous shift in the plurality of shifts together according to a station of each shift path;
and respectively calculating departure intervals and arrival intervals of each shift route station for each shift in the plurality of shifts.
4. The method of claim 3, wherein the bus operation data further comprises: weight association information;
prior to said calculating an average run-time deviation from a plurality of said run-time deviations, said method further comprising:
determining a weight variable parameter according to the weight association information;
said calculating an average run-time deviation from a plurality of said run-time deviations, comprising:
and calculating an average running time deviation according to the weight variable parameter and the running time deviations.
5. The method of claim 4, wherein the weight-related information includes a number of persons getting on and getting off;
the determining of the weight variable parameter according to the weight association information includes:
calculating the weight variable parameter according to the number of the people getting on the train and the number of the people getting off the train by a preset weight calculation formula, wherein the weight calculation formula comprises the following steps:
wherein q isijWeight variable parameter at site j for shift i, aijFor shift i pick-up traffic at station j, bijAnd the get-off passenger flow at the station j for the shift i.
6. The method of claim 5, wherein said calculating an average run-time bias from the weight variable parameter and the plurality of run-time biases comprises:
calculating the average running time deviation of the running time deviation and the weight variable parameter through a preset average running time deviation formula;
the preset average run time deviation formula comprises:
where d is the mean operating time deviation, qijAs a weight variable parameter, oijIs the running time deviation in the corresponding time range; the value range of i is all the operation shifts except the first shift of each line in the time range, and the value range of j is the non-first common arrival station of each shift and the previous shift in a plurality of shifts corresponding to the space range.
7. The method according to any one of claims 1-6, wherein the preset reliability scoring formula comprises:
wherein d is the average run time deviation for the corresponding evaluation range, d ∈ [0, + ∞); s is the reliability score, belongs to (0, 100), and the value of the reliability score s is positively correlated with the quality of the evaluation result.
8. The utility model provides an evaluation device of public transit operational reliability which characterized in that includes:
the device comprises a first determining unit, a second determining unit and a judging unit, wherein the first determining unit is used for determining an evaluation range, and the evaluation range comprises a time range and a space range;
the acquisition unit is used for acquiring bus operation data corresponding to the evaluation range, wherein the bus operation data comprises operation shifts, route stations of each operation shift, arrival time of each shift reaching each route station, and departure time of each shift from the first station;
the first calculating unit is used for determining a common arrival station set among each class according to the bus running data and calculating departure intervals among the classes and arrival intervals of the stations of each class approach;
the second calculation unit is used for calculating the running time deviation of each shift from the previous shift at each route station according to the common arrival station set, the departure interval and the arrival interval;
a third calculation unit for calculating an average running time deviation from a plurality of the running time deviations;
and the second determining unit is used for calculating the bus running reliability score corresponding to the evaluation range through a preset reliability scoring formula and the average running time deviation, and determining an evaluation result based on the reliability score.
9. An electronic device comprising a memory, a processor, and a communication bus;
the memory is in communication connection with the processor through the communication bus;
the memory has stored therein computer-executable instructions for execution by the processor to implement the method of any one of claims 1-7.
10. A computer-readable storage medium having computer-executable instructions stored thereon, which when executed, perform the method of any one of claims 1-7.
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